1. Învăţa
    2. /
  2. Courses
    3. /
  3. Introduction to Embeddings with the OpenAI API
Connected

exercise

Getting started with ChromaDB

In the following exercises, you'll use a vector database to embed and query 1000 films and TV shows from the Netflix dataset introduced in the video. The goal will be to use this data to generate recommendations based on a search query. To get started, you'll create the database and collection to store the data.

chromadb is available for you to use, and the OpenAIEmbeddingFunction() has been imported from chromadb.utils.embedding_functions. As with the first two chapters, you don't need to provide an OpenAI API key in this chapter.

Instrucţiuni

100 XP
  • Create a persistent client to save the database files to disk; you can leave out the file path for these exercises.
  • Create a database collection called netflix_titles that uses the OpenAI embedding function.
  • List all of the collections in the database.